About the role
Contribute to one of the highest-scale experimentation platforms on the planet Collaborate closely with backend engineers, data scientists, site reliability engineers (SREs), and product managers to gather
requirements, iterate on features, and deliver seamless, end-to-end user experiences. Collaborate closely with designers, UI-experts, science leaders and engineers to ensure clear, actionable dashboards and visualizations that empower users to make trustworthy science-informed decisions. Provide technical guidance and deep industry insight, advising cross-functional teams on the adoption of cutting-edge AI tools, technologies, and methodologies to ensure successful experimentation programs and uphold the highest standards of quality and scientific rigor. Provide mentorship and coaching to less experienced and mid-level team members by sharing expertise to build team capabilities and guiding team members in projects, and their career Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. These
requirements include, but are not limited to the following specialized security screenings: Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, or Azure AI Foundry) 3+ years of experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping as part of a product team. Proven track record designing and scaling online experimentation platforms that support high‑velocity A/B and multivariate testing across complex, multi‑team product ecosystems, including governance, guardrails, and causal inference best practices. Demonstrated thought leadership in product measurement strategy, with the ability to define north‑star metrics, architect measurement frameworks, and influence senior product and engineering leaders on how to interpret ambiguous or noisy data at scale. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
